Fuzzy classification trees

Jane Yung jen Hsu, I. Jen Chiang

研究成果: 書貢獻/報告類型會議貢獻

2 引文 斯高帕斯(Scopus)

摘要

Overly generalized predictions are a serious problem in concept classification. In particular, the boundaries among classes are not always clearly defined. For example, there are usually uncertainties in diagnoses based on data from biochemical laboratory examinations. To avoid such problems, the idea of fuzzy classification is proposed. This paper presents the basic definition of fuzzy classification trees along with their construction algorithm. Instead of determining a single class for any given instance, fuzzy classification predicts the degree of possibility for every class.

原文英語
主出版物標題Proceedings of the Joint Conference on Intelligent Systems/ISAI/IFIS
編輯 Anon
發行者IEEE
頁面431-438
頁數8
出版狀態已發佈 - 1996
對外發佈
事件Proceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS - Cancun, Mex
持續時間: 11月 12 199611月 15 1996

其他

其他Proceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS
城市Cancun, Mex
期間11/12/9611/15/96

ASJC Scopus subject areas

  • 工程 (全部)

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